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      Changes in HIV Outcomes Following Depression Care in a Resource-Limited Setting: Results from a Pilot Study in Bamenda, Cameroon

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          Abstract

          Background

          Little is known about how improved depression care affects HIV-related outcomes in Africa. In a sample of depressed HIV patients in a low income, sub-Saharan country, we explored how implementing measurement-based antidepressant care (MBC) affected HIV outcomes over 4 months of antidepressant treatment.

          Methods

          As part of a project adapting MBC for use in Cameroon, we enrolled 41 depressed HIV patients on antiretroviral therapy in a pilot study in which a depression care manager (DCM) provided an outpatient HIV clinician with evidence-based decision support for antidepressant treatment. Acute depression management was provided for the first 12 weeks, with DCM contact every 2 weeks and HIV clinician appointments every 4 weeks. We measured HIV clinical and psychiatric outcomes at 4 months.

          Results

          Participants were moderately depressed at baseline (mean Patient Health Questionnaire [PHQ] score = 14.4, range 13.1, 15.6). All HIV clinical outcomes improved by four month follow-up: mean (range) CD4 count improved from 436 (2, 860) to 452 (132, 876), mean (range) log-viral load decreased from 4.02 (3.86, 4.17) to 3.15 (2.81, 3.49), the proportion with virologic suppression improved from 0% to 18%, mean (range) HIV symptoms decreased from 6.4 (5.5, 7.3) to 3.1 (2.5, 3.7), the proportion reporting good or excellent health improved from 18% to 70%, and the proportion reporting any missed ARV doses in the past month decreased from 73% to 55%. Concurrently, psychiatric measures improved. The mean (range) PHQ score decreased from 14.4 (13.1, 15.6) to 1.6 (0.8, 2.4) and 90% achieved depression remission, while mean maladaptive coping style scores decreased and mean adaptive coping scores and self-efficacy scores improved.

          Conclusion

          In this pilot study of an evidence-based depression treatment intervention for HIV-infected patients in Cameroon, a number of HIV behavioral and non-behavioral health outcomes improved over 4 months of effective depression treatment. These data are consistent with the hypothesis that better depression care can lead to improved HIV outcomes.

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          Self-rated global measure of the frequency, intensity, and burden of side effects.

          No standard side-effect measure currently available can be easily used in clinical practice for patients receiving treatment for depression. The Frequency, Intensity, and Burden of Side Effects Rating (FIBSER) Scale was developed to document these three domains of side effects in patients treated in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) project. This article presents data on the reliability and validity of the FIBSER. The STAR*D prospectively enrolled 4,041 outpatients with nonpsychotic major depressive disorder (MDD) who were seeking medical care (as opposed to symptomatic volunteers recruited via advertisements). The patients were treated with citalopram. Clinical assessments, including the FIBSER, were completed at 2, 4, 6, 9, 12, and, if necessary, 14 weeks after enrollment. The FIBSER was shown to be reliable, with high correlations between observations taken a short time apart, and correlations decreasing as time between observations increased. There were also consistent relationships between items over time. The FIBSER has both face and construct validity. Thus, the FIBSER is a reliable and valid self-report measure of side effects in a population receiving treatment for depression. Although it does not measure the impact of specific side effects, it does measure three domains of impact: frequency, intensity, and burden of the side effects. Its brevity makes it a useful tool for routine clinical practice. These advantages are not available in other side-effect measures.
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            Effects of depression and selective serotonin reuptake inhibitor use on adherence to highly active antiretroviral therapy and on clinical outcomes in HIV-infected patients.

            To determine the impact of depression on highly active antiretroviral therapy (HAART) adherence and clinical measures and investigate if selective serotonin reuptake inhibitors (SSRIs) improve these measures. Retrospective cohort study. In 2 large health maintenance organizations, we measured the effects of depression (with and without SSRI use) on adherence and changes in viral and immunologic control among HIV-infected patients starting a new HAART regimen. HAART adherence, HIV RNA levels, and changes in CD4 T-cell counts through 12 months were measured. A total of 3359 patients were evaluated; 42% had a depression diagnosis, and 15% used SSRIs during HAART. Depression without SSRI use was associated with significantly decreased odds of achieving > or =90% adherence to HAART (odds ratio [OR] = 0.81, 95% confidence interval [CI]: 0.70 to 0.98; P = 0.03). Depression was associated with significantly lower odds of an HIV RNA level 80% adherence to SSRI) had HAART adherence and viral control statistically similar to nondepressed HIV-infected patients taking HAART. Comparing depressed with nondepressed HIV-infected patients, CD4 T-cell responses were statistically similar; among depressed patients, those compliant with SSRI had statistically greater increases in CD4 cell responses. Depression significantly worsens HAART adherence and HIV viral control. Compliant SSRI use is associated with improved HIV adherence and laboratory parameters.
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              Validity of an interviewer-administered patient health questionnaire-9 to screen for depression in HIV-infected patients in Cameroon.

              In high-income countries, depression is prevalent in HIV patients and is associated with lower medication adherence and clinical outcomes. Emerging evidence from low-income countries supports similar relationships. Yet little research has validated rapid depression screening tools integrated into routine HIV clinical care. Using qualitative methods, we adapted the Patient Health Questionnaire-9 (PHQ-9) depression screening instrument for use with Cameroonian patients. We then conducted a cross-sectional validity study comparing an interviewer-administered PHQ-9 to the reference standard Composite International Diagnostic Interview in 400 patients on antiretroviral therapy attending a regional HIV treatment center in Bamenda, Cameroon. The prevalence of major depressive disorder (MDD) in the past month was 3% (n=11 cases). Using a standard cutoff score of ≥10 as a positive depression screen, the PHQ-9 had estimated sensitivity of 27% (95% confidence interval: 6-61%) and specificity of 94% (91-96%), corresponding to positive and negative likelihood ratios of 4.5 and 0.8. There was little evidence of variation in specificity by gender, number of HIV symptoms, or result of a dementia screen. The low prevalence of MDD yielded very imprecise sensitivity estimates. Although the PHQ-9 was developed as a self-administered tool, we assessed an interviewer-administered version due to the literacy level of the target population. The PHQ-9 demonstrated high specificity but apparently low sensitivity for detecting MDD in this sample of HIV patients in Cameroon. Formative work to define the performance of proven screening tools in new settings remains important as research on mental health expands in low-income countries. Copyright © 2012 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 October 2015
                2015
                : 10
                : 10
                : e0140001
                Affiliations
                [1 ]Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, United States of America
                [2 ]Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, United States of America
                [3 ]University of Buea, Buea, Cameroon
                [4 ]Department of Internal Medicine (Neurology Unit), the University of Yaoundé I, Yaoundé, Cameroon
                [5 ]HIV/AIDS Treatment Center, Bamenda Hospital, Bamenda, Cameroon
                [6 ]Regional Technical Group for the fight against HIV North West region, Bamenda Hospital, Bamenda, Cameroon
                [7 ]Duke Global Health Institute, Duke University, Durham, NC, United States of America
                [8 ]Department of Biomedical Sciences, University of Buea, Cameroon
                [9 ]Department of Microbiology and Immunology, University of Yaoundé I, Yaoundé, Cameroon
                International AIDS Vaccine Initiative, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: BNG BWP JA AKN RW KW PN. Performed the experiments: BNG BWP JA AKN MET CKA. Analyzed the data: BNG BWP JA JKO. Contributed reagents/materials/analysis tools: BNG BWP. Wrote the paper: BNG BWP JA JKO AKN MET CKA RW KW PN.

                Article
                PONE-D-14-12252
                10.1371/journal.pone.0140001
                4607444
                26469186
                240a6d23-6f80-4e0c-b351-df15b8e5cede
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 18 June 2014
                : 18 September 2015
                Page count
                Figures: 1, Tables: 4, Pages: 12
                Funding
                This study was supported by grant R34 MH084673 of the National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. BNG receives funding from the NC TRACS Institute, which is supported by grants UL1RR025747, KL2RR025746, and TLRR025745 from the NIH National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health. This publication was made possible with help from the Duke University Center for AIDS Research (CFAR), an NIH funded program (P30 AI064518). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIMH or the NIH. The funders had no role in study design, data collection and analysis, preparation of the manuscript, or decision to publish.
                Categories
                Research Article
                Custom metadata
                Due to restrictions imposed by the UNC-Chapel Hill Biomedical IRB regarding patient data, data are available upon request. Requests for data may be sent to the corresponding author ( bradley_gaynes@ 123456med.unc.edu ).

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